‘FORGOTTEN ISLAND’ debuts on Rotten Tomatoes at 100%
• Currently the highest-rated DreamWorks animated film ever.
Read our review: https://t.co/qBv0cjTgLg
filipino culture that we should unlearn:
utang na loob. it’s always nice to be grateful for people that helped you but it shouldn’t be a lifetime debt. people should learn to just help out of a kindness of their heart w/o expecting anything in return.
TELL EM, LIZA SOBERANO! 🗣️
The entire Criterion Closet is now available as a website, where you can browse all 1,247 films by walking the shelves, thanks to redditor olievans.
https://t.co/O2b7MwzCZj
What started as building a personal taste.md skill for myself, turned into building a pipeline to create any taste as a skill.
The most important piece is references. This is where you should spend time. If the references suck, so does the skill.
I find that references cropped tightly on details in high resolution work the best.
Each image gets analyzed by both Opus 4.7 and GPT 5.5. The analysis is based on why the reference is successful as a piece of design - not what it does functionally. Using two models helps rule out biases and gaps from each.
The models focus on layout, spacing, typography, rhythm, composition, hierarchy, etc.
At the end, each image has:
reference-01/
- opus-4-7-analysis.md
- gpt-5-5-analysis.md
Then we fuse them together using GPT 5.5 - but the md files are anonymized so 5.5 doesn't prefer itself.
reference-01/
- fused-analysis.md
reference-02/
- fused-analysis.md
etc.
After fusion, we have one synthesized analysis per reference. Now the goal is to combine all of those into a single rule set.
This is where chunking matters. If you ask one model to combine 100 image analyses at once, the result becomes too broad. It summarizes instead of preserving the granular design rules we want.
Instead we chunk the fused analyses into smaller groups. Each group gets merged into a chunk-level synthesis, usually from around 6 to 8 image notes at a time.
Then one final model pass fuses those chunks into a single md rule set.
Finally, using the rule set, we write a skill of concrete instructions. It enforces constraints, uses imperative wording, and avoids vague taste words.
For years I've been taking selfies of my outfits just to remember what I wore or share with friends. Camera roll: thousands of pictures, zero of them findable. So i built the thing i wanted. Meet Yafa 🧵
Little textbooks called ‘primers’ shaped the first 200 years of American Education. Primer will shape the next 200.
This is our labor of love for the kids of America. A vision for the future of Education, featuring MarQuis – a real Primer student:
We're testing something new:
I'm connecting ambitious Primer students with real-world businesses to shadow, learn, and (eventually) intern / apprentice.
If you're in manufacturing, trades, logistics, auto, services, etc. in FL, TX, AL, or AZ — let's chat.
[email protected]
officially submitted to the app store for review 🤞
heres a preview of the app store screenshots ✨
drop ur email @ https://t.co/eUtdtsbnXu for early access